41 datasets found

LOL and MIT-Adobe FiveK datasets for low-light image enhancement

Exposure correction dataset for exposure correction task

A large-scale real-world dataset for photo enhancement, consisting of real photos captured from three different phones and one high-end reflex camera.

The dataset used for training and testing the proposed deep retinex decomposition model.

Underwater image enhancement via medium transmission-guided multi-color space embedding.

Underwater scene prior inspired deep underwater image and video enhancement.

An underwater image enhancement benchmark dataset and beyond.

Simultaneous enhancement and super-resolution of underwater imagery for improved visual perception.

U-shape transformer for underwater image enhancement.

Underwater Image Enhancement (UIE) technology aims to tackle the challenge of restoring the degraded underwater images due to light absorption and scattering.

The dataset used for training and testing the proposed NICER approach for aesthetic image enhancement.

The MIT-Adobe FiveK dataset, a large-scale dataset for image segmentation and object detection.

Low-light image enhancement benchmark

Real-world image restoration and enhancement

A ground-based dataset and a diffusion model for on-orbit low-light image enhancement

The dataset used in the Generative Diffusion Prior for unified image restoration and enhancement.

A dataset for learning a deep single image contrast enhancer from multi-exposure images.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used it for data anonymization, data augmentation, and image perceptual quality...

Learned perceptual image enhancement.

Underwater image enhancement dataset